{"id":"W2913394752","doi":"","title":"Proceedings of the 2014 ACM SIGCOMM workshop on Distributed cloud computing","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Session (web analytics); Computer science; Plan (archaeology); Variety (cybernetics); World Wide Web; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009799118,0.001871507,0.002370458,0.00196742,0.003691218,0.008570477,0.003119705,0.003297863,0.04980348],"category_scores_gemma":[0.01462787,0.0008426263,0.001007016,0.002743469,0.001671077,0.008795016,0.003695607,0.007399854,0.02821034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149338,"about_ca_system_score_gemma":0.007058573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103833,"about_ca_topic_score_gemma":0.01441686,"domain_scores_codex":[0.9936848,0.001913646,0.0003807261,0.0008926503,0.002281916,0.0008461642],"domain_scores_gemma":[0.9874935,0.0028826,0.0003278658,0.001906389,0.004135044,0.003254541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002433075,0.000115151,0.0003756223,0.0001627445,0.0000386233,0.0001313958,0.0001915285,0.00113864,0.001148927,0.01045942,0.9157281,0.07026649],"study_design_scores_gemma":[0.00006448865,0.00007236948,0.0004976797,0.0001404065,0.00002956461,0.0001194313,0.0001925824,0.0062046,0.0008868657,0.01029936,0.9814543,0.00003833984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01548836,0.05602538,0.265106,0.1676064,0.2363371,0.002107204,0.005689015,0.01025236,0.2413883],"genre_scores_gemma":[0.1310366,0.06454659,0.09992459,0.02724024,0.1312135,0.002352138,0.01790573,0.005663385,0.5201172],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04980348,"threshold_uncertainty_score":0.1666092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341517781055353,"score_gpt":0.2287366806252352,"score_spread":0.2153215028146816,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}